Cancer profiles by Affinity Propagation
The Affinity Propagation algorithm is applied to various problems of breast and cutaneous tumours subtyping using traditional biologic markers. The algorithm provides a procedure to determine the number of profiles to be considered. Well know breast cancer case series and cutaneous melanoma were use...
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| Format: | Article |
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Inderscience
2009
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| Online Access: | https://eprints.nottingham.ac.uk/28138/ |
| _version_ | 1848793515836833792 |
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| author | Soria, Daniele Garibaldi, Jonathan M. Ambrogi, Federico Boracchi, Patrizia Raimondi, E. Biganzoli, Elia M. |
| author_facet | Soria, Daniele Garibaldi, Jonathan M. Ambrogi, Federico Boracchi, Patrizia Raimondi, E. Biganzoli, Elia M. |
| author_sort | Soria, Daniele |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The Affinity Propagation algorithm is applied to various problems of breast and cutaneous tumours subtyping using traditional biologic markers. The algorithm provides a procedure to determine the number of profiles to be considered. Well know breast cancer case series and cutaneous melanoma were used to compare the results of the Affinity Propagation with the results obtained with standard algorithms and indexes for the optimal choice of the number of clusters.Results from Affinity Propagation are consistent with the results already obtained having the advantage of providing an indication about the number of clusters. |
| first_indexed | 2025-11-14T19:01:32Z |
| format | Article |
| id | nottingham-28138 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:01:32Z |
| publishDate | 2009 |
| publisher | Inderscience |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-281382020-05-04T20:27:02Z https://eprints.nottingham.ac.uk/28138/ Cancer profiles by Affinity Propagation Soria, Daniele Garibaldi, Jonathan M. Ambrogi, Federico Boracchi, Patrizia Raimondi, E. Biganzoli, Elia M. The Affinity Propagation algorithm is applied to various problems of breast and cutaneous tumours subtyping using traditional biologic markers. The algorithm provides a procedure to determine the number of profiles to be considered. Well know breast cancer case series and cutaneous melanoma were used to compare the results of the Affinity Propagation with the results obtained with standard algorithms and indexes for the optimal choice of the number of clusters.Results from Affinity Propagation are consistent with the results already obtained having the advantage of providing an indication about the number of clusters. Inderscience 2009 Article PeerReviewed Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, Boracchi, Patrizia, Raimondi, E. and Biganzoli, Elia M. (2009) Cancer profiles by Affinity Propagation. International Journal of Knowledge Engineering and Soft Data Paradigms, 1 (3). pp. 195-215. ISSN 1755-3210 affinity propagation clustering algorithms breast cancer cutaneous melanoma cancer profiles tumours biological markers biomarkers http://www.inderscience.com/info/inarticle.php?artid=28814 doi:10.1504/IJKESDP.2009.028814 doi:10.1504/IJKESDP.2009.028814 |
| spellingShingle | affinity propagation clustering algorithms breast cancer cutaneous melanoma cancer profiles tumours biological markers biomarkers Soria, Daniele Garibaldi, Jonathan M. Ambrogi, Federico Boracchi, Patrizia Raimondi, E. Biganzoli, Elia M. Cancer profiles by Affinity Propagation |
| title | Cancer profiles by Affinity Propagation |
| title_full | Cancer profiles by Affinity Propagation |
| title_fullStr | Cancer profiles by Affinity Propagation |
| title_full_unstemmed | Cancer profiles by Affinity Propagation |
| title_short | Cancer profiles by Affinity Propagation |
| title_sort | cancer profiles by affinity propagation |
| topic | affinity propagation clustering algorithms breast cancer cutaneous melanoma cancer profiles tumours biological markers biomarkers |
| url | https://eprints.nottingham.ac.uk/28138/ https://eprints.nottingham.ac.uk/28138/ https://eprints.nottingham.ac.uk/28138/ |